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Disasters associated with slope instability are a growing concern globally, particularly in regions like Mexico’s Sierra Norte de Puebla (SNP), where natural and anthropogenic factors converge. This chapter examines the intersection of geomorphological hazards and socio-economic vulnerabilities, focusing on mass movement processes that pose significant risks to human settlements. Drawing on a case study from Tlatlauquitepec, Puebla, an Unmanned Aerial Vehicle (UAV) technology was employed to generate high-resolution aerial imagery, enabling a comprehensive assessment of landslide exposure. A detailed exposure map was created, classifying 358 properties into high, medium, and low-risk categories. The study revealed that 45.5% of the properties fall into the medium-risk category due to their location on or near steep slopes with a history of instability. The application of UAV technology and advanced 3D modelling, including developing Digital Surface Models (DSM) and Red Relief Image Maps (RRIM), highlighted the value of remote sensing tools in disaster risk assessment. This research underscores the need for targeted disaster risk management strategies, integrating technological innovations and socio-economic considerations to mitigate future hazards and improve resilience in vulnerable communities.

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From Sky to Safety: Unmanned Aerial Vehicles and Geomorphological Insights to Local-Scale Household Landslide Exposure

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Maryjose Sánchez-Rojo,
  • Ricardo J. Garnica-Peña,
  • Irasema Alcántara-Ayala

摘要

Disasters associated with slope instability are a growing concern globally, particularly in regions like Mexico’s Sierra Norte de Puebla (SNP), where natural and anthropogenic factors converge. This chapter examines the intersection of geomorphological hazards and socio-economic vulnerabilities, focusing on mass movement processes that pose significant risks to human settlements. Drawing on a case study from Tlatlauquitepec, Puebla, an Unmanned Aerial Vehicle (UAV) technology was employed to generate high-resolution aerial imagery, enabling a comprehensive assessment of landslide exposure. A detailed exposure map was created, classifying 358 properties into high, medium, and low-risk categories. The study revealed that 45.5% of the properties fall into the medium-risk category due to their location on or near steep slopes with a history of instability. The application of UAV technology and advanced 3D modelling, including developing Digital Surface Models (DSM) and Red Relief Image Maps (RRIM), highlighted the value of remote sensing tools in disaster risk assessment. This research underscores the need for targeted disaster risk management strategies, integrating technological innovations and socio-economic considerations to mitigate future hazards and improve resilience in vulnerable communities.